A Platform for Empirical Research on Information System Evolution

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Robert Heinrich
  • Stefan Gärtner
  • Tom Michael Hesse
  • Thomas Ruhroth
  • Ralf Reussner
  • Kurt Schneider
  • Barbara Paech
  • Jan Jürjens

Research Organisations

External Research Organisations

  • Karlsruhe Institute of Technology (KIT)
  • Heidelberg University
  • TU Dortmund University
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Details

Original languageEnglish
Title of host publicationProceedings - SEKE 2015
Subtitle of host publication27th International Conference on Software Engineering and Knowledge Engineering
Pages415-420
Number of pages6
ISBN (electronic)1891706373
Publication statusPublished - 2015
Event27th International Conference on Software Engineering and Knowledge Engineering - Pittsburgh, United States
Duration: 6 Jul 20158 Jul 2015
Conference number: 27

Publication series

NameProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
Volume2015-January
ISSN (Print)2325-9000
ISSN (electronic)2325-9086

Abstract

Software-intensive systems are subject to continuous change due to modification of the systems themselves and their environment. Methods for supporting evolution are a competitive edge in software engineering as software is operated over decades. Empirical research is useful to validate the effectiveness of these methods. However, empirical studies on software evolution are rarely comprehensive and hardly replicable. Collaboration in empirical studies may prevent these shortcomings. We analyzed the support for such collaboration and examined existing studies in a literature review. Based on our findings, we designed CoCoMEP- a platform for supporting collaboration in empirical research on software evolution by shared knowledge. We report lessons learned from the application of the platform in a large research programme.

ASJC Scopus subject areas

Cite this

A Platform for Empirical Research on Information System Evolution. / Heinrich, Robert; Gärtner, Stefan; Hesse, Tom Michael et al.
Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering. 2015. p. 415-420 (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE; Vol. 2015-January).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Heinrich, R, Gärtner, S, Hesse, TM, Ruhroth, T, Reussner, R, Schneider, K, Paech, B & Jürjens, J 2015, A Platform for Empirical Research on Information System Evolution. in Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, vol. 2015-January, pp. 415-420, 27th International Conference on Software Engineering and Knowledge Engineering, Pittsburgh, United States, 6 Jul 2015. https://doi.org/10.18293/SEKE2015-066
Heinrich, R., Gärtner, S., Hesse, T. M., Ruhroth, T., Reussner, R., Schneider, K., Paech, B., & Jürjens, J. (2015). A Platform for Empirical Research on Information System Evolution. In Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering (pp. 415-420). (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE; Vol. 2015-January). https://doi.org/10.18293/SEKE2015-066
Heinrich R, Gärtner S, Hesse TM, Ruhroth T, Reussner R, Schneider K et al. A Platform for Empirical Research on Information System Evolution. In Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering. 2015. p. 415-420. (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE). doi: 10.18293/SEKE2015-066
Heinrich, Robert ; Gärtner, Stefan ; Hesse, Tom Michael et al. / A Platform for Empirical Research on Information System Evolution. Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering. 2015. pp. 415-420 (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE).
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